Abstract
Sadr et al (2003) presented evidence suggesting that eyebrows are the most important feature in facial recognition. In their study participants were asked to identify 50 celebrity images which were either lacking eyes or lacking eyebrows, recognition performance was significantly worse in the images lacking eyebrows. The aim of this experiment is to prove Sadrs results …show more content…
| Condition 1 (without eyes) | Condition 2 (without eyebrows) | Overall mean time taken to recognise the image of all the celebrities | 3.8 | 6.6 | Standard Deviation | ± 1.4 | ± 3.3 |
A graph to show overall mean time taken to recognise the image of all the celebrities in the first condition (without eyes) and the second condition (without eyebrows) with error bars shows the dispersion of data about the mean.
On average the time taken to recognise the image without eyebrows took longer than the image without eyes although the images without eyebrows have a higher standard deviation meaning that there is more dispersion about the mean. Error bars overlap showing that there is no significant difference between the two conditions.
Discussion
The results acquired from the experiment on the role of eyebrows in facial recognition corresponds with Sadrs work and thus supporting the experimental hypothesis; There will be a significant difference in the time taken to recognise a common face and whether the image has; no eyebrows or no eyes. This means that eyebrows do contribute in an important way to facial